When it comes to ensuring growth and success in today’s ever-evolving corporate landscape, effective employee training is key. However, the business environment is fast changing with the advent of new technologies and high market demands. Thus, organizations need to focus on personalizing employee training to ensure more engagement. This is where customized AI and deep learning solutions can aid embrace the change for good!
• 45% of workers are more likely to stay in their role if they receive training.
• Over 90% of employees say they won’t quit if they get development opportunities.
• 92% of employees think workplace training impacts their job engagement positively.
• Less than one-third of employees are satisfied with the available opportunities for career advancement.
Success Story: Transforming Training with SoftProdigy’s AI Recommendations
In this case study, we will dive deep into how SoftProdigy revolutionized a financial company’s training ecosystem by deploying an AI-driven training recommendation system.
From converting video content into actionable insights to leveraging semantic embeddings for precise recommendations, here’s how our digital transformation agency is setting a new benchmark in personalized learning and training.
Key Business Challenges:
• Lack of Personalization
A leading financial organization was struggling with an outdated recommendation system for employee training. The system was providing their teams with a set of generic recommendations regardless of their job roles, learning history, or performance metrics.
This made the training and learning process for employees irrelevant, lowering the value of their training and development program. The goal was to enhance training personalization to improve the overall employee learning experience.
• Untapped Video Content
Though thousands of videos were prepared for employee training, there was still no systemic procedure in place to draw and use the precious information available from such sources. This was wasting the implicit insights in videos and also failing to provide relevant training materials to the employees concerned.
The idea was to create a new system from scratch using AI to ensure effective extraction of actionable data from videos, consequently providing personalized training content for teams.
• Outdated Technology
The organization’s existing manual training system lacked not only accuracy, but also relevance. This led to propositions that were often unnecessary, underutilization, and inefficiency in the later stages.
Thus, the system required necessitating an advanced AI-driven solution to meet modern training needs with precise recommendations. The objective was to enable high-tech, automated, and data-oriented activities that match the high demands of working employees.
• Challenging Data Integration
Due to the scattered diffusion of loosely related information, it was a challenge to integrate data from different systems. These systems include the HR system, performance management system, and learning management system.
As a result, it was impossible for the existing training model to unveil and provide customized content to employees. The key was to streamline content discovery first and then make data more accessible and engaging for different teams.
• Low Employee Engagement
Despite investing heavily in development and training programs, employee engagement was low for the client. This is because the employees found the content irrelevant and too generic to their specific career roles. In fact, they were facing difficulties finding relevant training material due to unorganized content libraries and limited search functionalities.
This hindered self-paced learning and discouraged users from exploring additional resources. Consequently, there was a high number of lackluster participation and incomplete courses.
Breakthrough Solutions Offered by SoftProdigy:
• Data Extraction From Videos
The first step was to extract insights from video content and translate them into data-rich sources. Our team used MoviePy to aggregate the training video and audio tracks and transferred them through OpenAI Whisper – a speech-to-text model.
This helped us capture the context and meaning of the video content, enabling the system to understand the underlying knowledge within each training video.
• Custom Recommendation Model Development
Once data was successfully extracted, our software development company developed a custom hybrid model to provide highly personalized training recommendations to employees. This model combined different elements to provide a personalized experience:
• Video embeddings obtained from the training videos.
• Employee-specific functionalities such as job assignments and performance indicators.
• Historical learning analytics integrated into the HR, performance, and learning management systems.
• Silo-Free Data Integration
To address the issue of data silos, we followed an effective integration process that leverages Python and Pandas. The system was designed to collect and preprocess data from different platforms, creating a unified data pipeline.
Additionally, our software development company incorporated a custom data table provided by the HR team, which mapped job roles to relevant courses based on historical experience.
• Model Training and Optimization
The hybrid recommendation model was trained using the historical user data, which was evaluated for performance. The model was subsequently optimized through hyperparameter tuning and cross-validation to ensure high accuracy.
• Hyperparameter tuning to improve the performance of the model in terms of optimal operating states.
• Cross-validation regarding the precision, recall, and F1 measures of the system so that it can provide accurate recommendations to users.
• System Integration
The final recommendation system was successfully integrated into the training platform to deliver accurate and contextually relevant training suggestions. Hence, in that manner, there came consolidated, AI and deep learning experience.
Thus, the employees were able to use the right video content for training and development according to personalized preferences on familiar user interfaces.
Tech Stack Breakdown:
Results and Achievements:
• Enhanced Personalization
The hybrid model tailored training recommendations to each employee’s role, learning history, and performance metrics. This personalization led to:
• A 30% increase in course engagement.
• A 40% higher training completion rate.
• Better Knowledge Retention and Application
By aligning training content with individual needs, employees demonstrated:
• Higher post-training test scores.
• Improved long-term retention of skills.
• Increased success in applying newly acquired skills to real-world scenarios.
• Positive Employee Feedback
The new system improved the overall learning experience, reflected in:
• A 20% increase in training satisfaction scores.
• Higher Net Promoter Scores (NPS) for the training programs.
• Improved Career Development
Employees accessed the right training at the right time, leading to:
• Faster skill acquisition.
• Increased promotion rates across departments.
What Made SoftProdigy Stand Out?
At SoftProdigy, we leveraged cutting-edge AI technologies and our expertise in AI and deep learning transformed the client’s training recommendation system. Our approach ensured that employees received personalized, relevant training content, ultimately enhancing their learning experiences and professional development.
• Expertise in AI and Deep Learning:
Our deep knowledge of AI tools like OpenAI Whisper and Ada enabled us to unlock the potential of the client’s training content.
• Custom Solutions:
Rather than a one-size-fits-all approach, we crafted a hybrid model tailored to the client’s unique challenges and goals.
• Seamless Integration:
By integrating the system with existing platforms, our digital transformation agency ensured minimal disruption while maximizing impact.
• Commitment to Results:
Our focus on measurable outcomes, such as engagement rates and knowledge retention, delivered tangible value to the client.
A Future of Personalization Awaits: Are You Ready?
SoftProdigy’s AI-driven solution redefined how training programs are delivered and consumed. By bridging the gap between data and action, the client now has a cutting-edge system that not only empowers employees but also drives business growth through better learning outcomes. So, whether you want to extract actionable insights, personalize content, or enhance employee engagement, we’ve got the expertise to make it happen.
Contact us today for a free consultation!
FAQs:
How does SoftProdigy improve employee engagement with training content?
By tailoring training recommendations to individual roles, performance metrics, and learning history, we make content more relevant and engaging. This approach encourages self-paced learning, higher participation rates, and course completion.
What sets SoftProdigy apart from other AI solution providers?
Deep knowledge of tools like OpenAI Whisper and Ada, tailored systems designed for specific business challenges, minimal disruption while maximizing impact, and focused on measurable outcomes like engagement and skill retention are a few standout factors about SoftProdigy.
Are SoftProdigy’s AI solutions scalable for large financial organizations?
Absolutely. Our AI-driven system is designed to scale with your organization, ensuring consistent performance and personalized training recommendations across all departments, regardless of workforce size.
How can I get started with SoftProdigy’s AI solutions for training?
Getting started is easy! Contact SoftProdigy today for a free consultation, and we’ll guide you through the process of transforming your training programs with our cutting-edge AI-driven solutions.
Divya Chakraborty is the COO and Director at SoftProdigy, driving digital transformation with AI and Agile. She partners with AWS and Azure, empowers teams, and champions innovation for business growth.
